Please use this identifier to cite or link to this item: https://doi.org/10.1145/1852611.1852629
Title: Prediction-based directional search for fast block-matching motion estimation
Authors: Nguyen, B.P. 
Do, T.T.T. 
Chui, C.-K. 
Ong, S.-H. 
Keywords: block-matching
directional search
motion estimation
PDS
prediction
Issue Date: 2010
Source: Nguyen, B.P.,Do, T.T.T.,Chui, C.-K.,Ong, S.-H. (2010). Prediction-based directional search for fast block-matching motion estimation. ACM International Conference Proceeding Series : 86-91. ScholarBank@NUS Repository. https://doi.org/10.1145/1852611.1852629
Abstract: This paper proposes an efficient block-matching motion estimation algorithm known as prediction-based directional search (PDS). This new algorithm is applicable to a wide range of video processing applications. The algorithm uses the motion vectors in two neighboring blocks to predict a starting search point for the current block. The subsequent refining search relies on the hypothesis of monotonic block distortion surface and the center-biased characteristic of motion vector probability distribution. The cross pattern in a step and one of four possible directional rectangle search patterns in the next step are iteratively used to find the motion vector. Experiments on eleven video sequences with different characteristics shows that PDS can achieve a faster computation speed with similar or even better distortion performance compared to some existing well-known algorithms. © 2010 ACM.
Source Title: ACM International Conference Proceeding Series
URI: http://scholarbank.nus.edu.sg/handle/10635/51239
ISBN: 9781450301053
DOI: 10.1145/1852611.1852629
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